Probability-PSO Algorithm for Multi-robot Based Odor Source Localization in Ventilated Indoor Environments. - Fei Li 009; Qing-Hao Meng; Shuang Bai; Ji-Gong Li; Dorin Popescu (ICIRA (1), 2008)

Multi-robot Based Chemical Plume Tracing with Virtual Odor-Source-Probability Sensor. - Fei Li 009; Qing-Hao Meng; Ji-Gong Li; Shuang Bai; Ming Zeng 001 (FSKD (1), 2009)

The Maximal Frequent Pattern mining of DNA sequence. - Shuang Bai; Si-Xue Bai (GrC, 2009)

Scene classification based on category-specific representations created through prototype feature selection. - Shuang Bai; Tetsuya Matsumoto; Hiroaki Kudo; Noboru Ohnishi; Yoshinori Takeuchi (IVCNZ, 2012)

Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification. - Shuang Bai; Tetsuya Matsumoto; Yoshinori Takeuchi; Hiroaki Kudo; Noboru Ohnishi (IEICE Trans. Inf. Syst., 2012)

Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization. - Shuang Bai; Tetsuya Matsumoto; Yoshinori Takeuchi; Hiroaki Kudo; Noboru Ohnishi (IEICE Trans. Inf. Syst., 2012)

Informative patches sampling for image classification by utilizing bottom-up and top-down information. - Shuang Bai; Tetsuya Matsumoto; Yoshinori Takeuchi; Hiroaki Kudo; Noboru Ohnishi (Mach. Vis. Appl., 2013)

Sparse code LBP and SIFT features together for scene categorization. - Shuang Bai (ICAILP, 2014)

Combining LBP and SIFT in Sparse Coding for Categorizing Scene Images. - Shuang Bai; Jianjun Hou; Noboru Ohnishi (IEICE Trans. Inf. Syst., 2014)

Enhancing details in images for performing scene categorization. - Shuang Bai; Chao Han; Jianjun Hou (J. Electronic Imaging, 2015)

A Weakly Supervised Deep Learning Semantic Segmentation Framework. - Jizhi Zhang; Guoying Zhang; Qiangyu Wang; Shuang Bai (SmartCloud, 2017)

Growing random forest on deep convolutional neural networks for scene categorization. - Shuang Bai (Expert Syst. Appl., 2017)

Scene Categorization Through Using Objects Represented by Deep Features. - Shuang Bai (Int. J. Pattern Recognit. Artif. Intell., 2017)

Learning two-pathway convolutional neural networks for categorizing scene images. - Shuang Bai; Zhaohong Li; Jianjun Hou (Multim. Tools Appl., 2017)

An Unobtrusive Fall Detection and Alerting System Based on Kalman Filter and Bayes Network Classifier. - Jian He; Shuang Bai; Xiaoyi Wang (Sensors, 2017)

Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization. - Shuang Bai; Huadong Tang (Appl. Soft Comput., 2018)

A survey on automatic image caption generation. - Shuang Bai; Shan An (Neurocomputing, 2018)

Categorizing scenes by exploring scene part information without constructing explicit models. - Shuang Bai; Huadong Tang (Neurocomputing, 2018)

Classify vehicles in traffic scene images with deformable part-based models. - Shuang Bai; Zhenyao Liu; Chang Yao (Mach. Vis. Appl., 2018)

Polarized Reflectance at Top of Atmosphere Based On Monte Carlo Simulations. - Wei Chen; Huimin Tian; Aijia Li; Hengyang Wang; Qinmin Fu; Shuang Bai; Lina Yi; Hao Sun 003; Hengqian Zhao (IGARSS, 2019)

Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction. - Shuang Bai; Huadong Tang; Shan An (Expert Syst. Appl., 2019)

Quarter-Point Product Quantization for approximate nearest neighbor search. - Shan An; Zhibiao Huang; Shuang Bai; Guangfu Che; Xin Ma; Jie Luo 004; Yu Chen (Pattern Recognit. Lett., 2019)

Information aggregation and fusion in deep neural networks for object interaction exploration for semantic segmentation. - Shuang Bai; Congcong Wang (Knowl. Based Syst., 2021)

Interweave features of Deep Convolutional Neural Networks for semantic segmentation. - Shuang Bai; Wenchao Gu; Lingxing Kong (Eng. Appl. Artif. Intell., 2022)

A review on 2D instance segmentation based on deep neural networks. - Wenchao Gu; Shuang Bai; Lingxing Kong (Image Vis. Comput., 2022)

The Scenario-Based Design of Practical Teaching in Training-Organization Course of Intelligence and Electronic Warfare Department. - Shuang Bai; Shijun Rao; Jun Hong (ICEIT, 2023)

Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines. - Lingxing Kong; Kailong Liu; Deyi Fu; Boyong Liu; Jingkai Ma; Huini Sun; Shuang Bai (J. Intell. Fuzzy Syst., 2023)

Learning an insertion region for advertisement embedding on planes. - Shan An; Fangru Zhou; Mei Yang; Shuang Bai; Chang Tang; Haogang Zhu (Signal Process. Image Commun., 2023)

Contour and Enclosed Region Refining for Contour-Based Instance Segmentation. - Wenchao Gu; Shuang Bai (IEEE Trans. Cogn. Dev. Syst., 2023)

Emergency triage based on deep ensemble learning and ICU physiological time series. - Shuang Bai; Lin Ye; Leyao Liu; Tuanjie Liang; Chi Qin; Jingyu Bu; Guanzheng Gao; Tian Liu (Biomed. Signal Process. Control., 2024)

Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials. - Ganesh Raghavendran; Bing Han; Fortune Adekogbe; Shuang Bai; Bingyu Lu; William Wu; Minghao Zhang; Ying Shirley Meng (CoRR, 2024)

Found missing semantics: Supplemental prototype network for few-shot semantic segmentation. - Chen Liang; Shuang Bai (Comput. Vis. Image Underst., 2024)

Information entropy induced graph convolutional network for semantic segmentation. - Shuang Bai; Chen Liang; Zhen Wang; Wenchao Pan (J. Vis. Commun. Image Represent., 2024)

Decomposition LSTM with dual multi-head self-attention for wind turbine drivetrain state forecasting. - Haikun Jia; Huini Sun; Shuang Bai (Turkish J. Electr. Eng. Comput. Sci., 2025)

Understanding document images by introducing explicit semantic information and short-range information interaction. - Yufeng Cheng; Dongxue Wang; Shuang Bai; Jingkai Ma; Chen Liang; Kailong Liu; Tao Deng (Image Vis. Comput., 2025)

Boosting Few-Shot Semantic Segmentation With Prior-Driven Edge Feature Enhancement Network. - Jingkai Ma; Shuang Bai; Wenchao Pan (IEEE Trans. Artif. Intell., 2025)

SGFNet: Structure-Guided Few-Shot Object Detection. - Jingkai Ma; Shuang Bai (IEEE Trans. Circuits Syst. Video Technol., 2025)

Multi-View Part-Based Few-Shot Object Detection. - Jingkai Ma; Shuang Bai (IEEE Trans. Neural Networks Learn. Syst., 2025)